Study of DB Miner Tool

Practical - 9
Study of DB Miner Tool.
Download Practical

Introduction
DBMiner, a data mining system for interactive mining of multiple-level knowledge in large relational databases, has been developed based on our years-of-research. The system implements a wide spectrum of data mining functions, including generalization, characterization, discrimination, association, classification, and prediction. By incorporation of several interesting data mining techniques, including attribute-oriented induction, progressive deepening for mining multiple-level rules, and meta-rule guided knowledge mining, the system provides a user-friendly, interactive data mining environment with good performance.


A data mining system, DBMiner, has been developed for interactive mining of multiple-level knowledge in large relational databases. It is based on studies of data mining techniques and experience in the development of an early system prototype, DBLearn. The system implements a wide spectrum of data mining functions, including generalization,characterization, association, classification, and prediction. By incorporation of several interesting data mining techniques, including attribute-oriented induction, statistical analysis, progressive deepening for mining multiple level knowledge, and meta-rule guided mining, the system provides a user-friendly, interactive data mining environment with good performance.

General architecture of DBMiner



Discovery Modules


DBMiner user interfaces
UNIX-based
Windows/NT-based
WWW/Netscape-based

DBMiner Wizard




OLAP Browser




3-D Cube



Association



Association Settings



Classification


Classification Settings



Clustering Settings

 


Comments

Post a Comment

Popular posts from this blog

Study of WEKA tool

Image
Practical - 6 Study of WEKA tool. Download Practical Introduction: Weka is open source software under the GNU General Public License. System is developed at the University of Waikato in New Zealand.”Weka”stands for the Waikato Environment for Knowledge Analysis. Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes. Weka has extensive help facilities built in and comes with a comprehensive manual. Weka supports several standard  data mining  tasks, more specifically, data preprocessing,  clustering ,  classification ,  regression , visualization, and  feature selection . All of Weka's techniques are predicated on the assumption that the...
Read more

Develop an android app which displays Hello message

Image
Practical - 5 Develop an android app which displays “Hello, welcome to Android Lab” message. Download Practical Code: MainActivity.java package com.example.admin.helloworld; import android.support.v7.app.AppCompatActivity; import android.os.Bundle; public class MainActivity extends AppCompatActivity {     @Override     protected void onCreate(Bundle savedInstanceState) {         super.onCreate(savedInstanceState);         setContentView(R.layout.activity_main);     } } activity_main.xml <?xml version="1.0" encoding="utf-8"?> <LinearLayout     xmlns:android="http://schemas.android.com/apk/res/android"     xmlns:app="http://schemas.android.com/apk/res-auto"     xmlns:tools="http://schemas.android.com/tools"     android:layout_width="match_parent"     android:layout_height="match_parent"     android:orientation="vertic...
Read more